A second generation human haplotype map of over 3.1 million SNPs
- PMID: 17943122
- PMCID: PMC2689609
- DOI: 10.1038/nature06258
A second generation human haplotype map of over 3.1 million SNPs
Abstract
We describe the Phase II HapMap, which characterizes over 3.1 million human single nucleotide polymorphisms (SNPs) genotyped in 270 individuals from four geographically diverse populations and includes 25-35% of common SNP variation in the populations surveyed. The map is estimated to capture untyped common variation with an average maximum r2 of between 0.9 and 0.96 depending on population. We demonstrate that the current generation of commercial genome-wide genotyping products captures common Phase II SNPs with an average maximum r2 of up to 0.8 in African and up to 0.95 in non-African populations, and that potential gains in power in association studies can be obtained through imputation. These data also reveal novel aspects of the structure of linkage disequilibrium. We show that 10-30% of pairs of individuals within a population share at least one region of extended genetic identity arising from recent ancestry and that up to 1% of all common variants are untaggable, primarily because they lie within recombination hotspots. We show that recombination rates vary systematically around genes and between genes of different function. Finally, we demonstrate increased differentiation at non-synonymous, compared to synonymous, SNPs, resulting from systematic differences in the strength or efficacy of natural selection between populations.
Figures






Similar articles
-
A haplotype map of the human genome.Nature. 2005 Oct 27;437(7063):1299-320. doi: 10.1038/nature04226. Nature. 2005. PMID: 16255080 Free PMC article.
-
Similarity in recombination rate and linkage disequilibrium at CYP2C and CYP2D cytochrome P450 gene regions among Europeans indicates signs of selection and no advantage of using tagSNPs in population isolates.Pharmacogenet Genomics. 2012 Dec;22(12):846-57. doi: 10.1097/FPC.0b013e32835a3a6d. Pharmacogenet Genomics. 2012. PMID: 23089684
-
Fine-scale recombination rate differences between sexes, populations and individuals.Nature. 2010 Oct 28;467(7319):1099-103. doi: 10.1038/nature09525. Nature. 2010. PMID: 20981099
-
HapMap and mapping genes for cardiovascular disease.Circ Cardiovasc Genet. 2008 Oct;1(1):66-71. doi: 10.1161/CIRCGENETICS.108.813675. Circ Cardiovasc Genet. 2008. PMID: 20031544 Free PMC article. Review.
-
Tag SNP selection for association studies.Genet Epidemiol. 2004 Dec;27(4):365-74. doi: 10.1002/gepi.20028. Genet Epidemiol. 2004. PMID: 15372618 Review.
Cited by
-
Physical activity, genes for physical fitness, and risk of coronary heart disease.Med Sci Sports Exerc. 2013 Apr;45(4):691-7. doi: 10.1249/MSS.0b013e3182784e9f. Med Sci Sports Exerc. 2013. PMID: 23073218 Free PMC article.
-
Association of polymorphisms in the beta-2 adrenergic receptor gene with fracture risk and bone mineral density.Osteoporos Int. 2015 Jul;26(7):2019-27. doi: 10.1007/s00198-015-3087-0. Epub 2015 Apr 25. Osteoporos Int. 2015. PMID: 25910744 Free PMC article.
-
Genetics of resistant hypertension: a novel pharmacogenomics phenotype.Curr Hypertens Rep. 2015 Sep;17(9):583. doi: 10.1007/s11906-015-0583-8. Curr Hypertens Rep. 2015. PMID: 26198781 Free PMC article. Review.
-
Bayesian variable selection in searching for additive and dominant effects in genome-wide data.PLoS One. 2012;7(1):e29115. doi: 10.1371/journal.pone.0029115. Epub 2012 Jan 3. PLoS One. 2012. PMID: 22235263 Free PMC article.
-
Genome-wide data substantiate Holocene gene flow from India to Australia.Proc Natl Acad Sci U S A. 2013 Jan 29;110(5):1803-8. doi: 10.1073/pnas.1211927110. Epub 2013 Jan 14. Proc Natl Acad Sci U S A. 2013. PMID: 23319617 Free PMC article.
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials